Electrocardiosignal classifying method and device, electronic equipment and storage medium

A technology of ECG signal and classification method, which is applied in medical science, sensors, diagnostic recording/measurement, etc., and can solve problems such as wrong recognition results, wrong classification of atrial fibrillation, and difficult detection of waveform features
CN109770862AActive Publication Date: 2019-05-21GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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Patent Information

Authority / Receiving Office
CN ยท China
Current Assignee / Owner
GUANGZHOU SHIYUAN ELECTRONICS CO LTD
Publication Date
2019-05-21

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Abstract

The invention relates to an electrocardiosignal classifying method and device, electronic equipment and a storage medium. The electrocardiosignal classifying method includes the steps that a signal waveform is extracted from electrocardiosignals; the morphological characteristic of the signal waveform is obtained, wherein the morphological characteristic comprises any one of the width characteristic, the correction characteristic, the slope characteristic and the waveform depth characteristic; the morphological statistical characteristics of the morphological characteristic are obtained, and are input into a classifier; classification results input by the classifier are obtained, and the signal type of the electrocardiosignals is obtained. According to the technical scheme, abnormal rhythms of various types can be more accurately identified, it is avoided that abnormal rhythms of non-atrial-fibrillation types of tachycardia, bradycardia, arrhythmia and the like are mistakenly classified into abnormal rhythms of atrial-fibrillation types, and the accuracy of electrocardiosignal classifying is increased.
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Description

Technical field

[0001] This application relates to the field of medical equipment and medical products, and in particular to an ECG signal classification method, device, electronic equipment and storage medium. Background technique

[0002] Atrial Fibrillation (AF) is abbreviated as atrial fibrillation. It is the most common arrhythmia disease in clinical practice. It is characterized by disordered atrial activity and subsequent complications such as stroke and myocardial infarction, leading to higher Disability and mortality rate seriously endanger human health and life. The algorithm to study whether there is atrial fibrillation in the ECG signal can be detected and treated early, so that the best opportunity for treatment can be grasped more, and the incidence and mortality of atrial fibrillation can be reduced. Therefore, it has important clinical and social significance.

[0003] Since the two important clinical manifestations during the onset of atrial fibrillation are the a...

Claims

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